Hammerstein–Wiener Multimodel Approach for Fast and Efficient Muscle Force Estimation from EMG Signals

Chihi, Inès; Sidhom, Lilia; Kamavuako, Ernest Nlandu

doi:10.3390/bios12020117

Cited by 10 publications

(11 citation statements)

References 48 publications

(82 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used sEMG to demonstrate the positive effects of yoga on balance, which was rare in previous studies. Previous studies showed that sEMG was able to accurately measure muscle activity through bioelectrical changes [50, 51, 52]. TA played an important role in the stabilization of OLS [53], and the stability of the sEMG signal amplitude during the process of maintaining balance meant the improvement of balance efficiency.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Combined effects of 12-week yoga warm-up on athletic performance in male high school track and field athletes

Wei

2022

Preprint

View full text Add to dashboard Cite

Background: Practicing yoga could improve balance and flexibility, but its positive significance as a long-term warm-up for formal training was uncertain. We hypothesized that practicing yoga during warm-up might positively affect balance, flexibility, and speed performance in male high school track and field athletes. Methods: Over a 12-week period, athletes in a yoga group (YG) (n=10) practiced yoga for 15 min 4 times a week during warm-up, while athletes in a dynamic stretching group (DSG) (n=10) practiced 15 min of dynamic stretching. Except for the warm-up activities, the training content of the two groups of students was the same. we tested performance indicators immediately before and after the intervention, including lower extremity flexibility test (right hip active flexion range), lower extremity balance test [using surface electromyography (sEMG) to measure right leg tibialis anterior (TA) activation during one-leg stance (OLS) with eyes closed], and speed performance test (100-meter and 800-meter tests). Results: We performed between-group and within-group comparisons for indicators of two groups by using SPSS (version 26.0). Within-group comparisons showed a significant improvement in flexibility (P=0.002) and balance (P=0.003) in YG, but no significant change in DSG, after the 12-week intervention. In addition, speed performance of both YG (100m, P=0.026; 800m, P=0.045) and DSG (100m, P=0.029; 800m, P=0.006) was significantly improved. Between-group comparison showed that YG had a significant advantage in 800m (P=0.045) and flexibility (P=0.031). Conclusions: These data suggested that practicing yoga as a long-term warm-up could help male high school track and field athletes improve lower body flexibility and 800m speed. In addition, yoga had a certain positive effect on balance, but it was not significant overall.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Effects Of Practicing Yoga As a Long-term Warm-up On Balancementioning

confidence: 99%

Combined effects of 12-week yoga warm-up on athletic performance in male high school track and field athletes

Wei

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…On the other hand, their particular structure allows for the extension of certain results obtained within the framework of linear systems [34].…”

Section: Fractional Order Takagi-sugeno Model Approachmentioning

confidence: 99%

Synthesis of Fractional Order Fuzzy Observer for a Fractional Order Takagi-Sugeno Model With Unmeasurable Premise Variables

DJEDDI,

AMIEUR,

HANNACHI

et al. 2024

RRST-EE

View full text Add to dashboard Cite

In this article, we present a novel approach: a fractional-order fuzzy observer, an extension of the Thau-Luenberger observer, specifically designed for nonlinear systems characterized by commensurate non-integer order Takagi-Sugeno models. This work makes significant contributions in two key areas. Firstly, both the activation functions of the model and the Lipschitz fractional-order fuzzy observer are dependent on unmeasurable variables, particularly the system's state. Secondly, our proposed fuzzy observer explicitly incorporates the system's initial conditions. The stability conditions of the fractional-order fuzzy observer are expressed through Bilinear Matrix Inequalities, which are then converted into linear matrix inequalities (LMIs). Subsequently, numerical simulations are conducted to demonstrate the efficacy of our proposed estimator.

show abstract

“…[7]. An input nonlinear autoregressive exogenous (IN-ARX) model has been applied in different disciplines, such as multi-input multi-output (MIMO) systems [8], muscle modeling [9], data filtering [10], wireless sensor network [11], control systems [12], and electromyography [13].…”

Section: Introductionmentioning

confidence: 99%

Design of Nonlinear Marine Predator Heuristics for Hammerstein Autoregressive Exogenous System Identification with Key-Term Separation

et al. 2023

View full text Add to dashboard Cite

Swarm-based metaheuristics have shown significant progress in solving different complex optimization problems, including the parameter identification of linear, as well as nonlinear, systems. Nonlinear systems are inherently stiff and difficult to optimize and, thus, require special attention to effectively estimate their parameters. This study investigates the parameter identification of an input nonlinear autoregressive exogenous (IN-ARX) model through swarm intelligence knacks of the nonlinear marine predators’ algorithm (NMPA). A detailed comparative analysis of the NMPA with other recently introduced metaheuristics, such as Aquila optimizer, prairie dog optimization, reptile search algorithm, sine cosine algorithm, and whale optimization algorithm, established the superiority of the proposed scheme in terms of accurate, robust, and convergent performances for different noise and generation variations. The statistics generated through multiple autonomous executions represent box and whisker plots, along with the Wilcoxon rank-sum test, further confirming the reliability and stability of the NMPA for parameter estimation of IN-ARX systems.

show abstract

Hammerstein–Wiener Multimodel Approach for Fast and Efficient Muscle Force Estimation from EMG Signals

Cited by 10 publications

References 48 publications

Combined effects of 12-week yoga warm-up on athletic performance in male high school track and field athletes

Combined effects of 12-week yoga warm-up on athletic performance in male high school track and field athletes

Synthesis of Fractional Order Fuzzy Observer for a Fractional Order Takagi-Sugeno Model With Unmeasurable Premise Variables

Design of Nonlinear Marine Predator Heuristics for Hammerstein Autoregressive Exogenous System Identification with Key-Term Separation

Contact Info

Product

Resources

About